Build a brand-new Prisme.ai App+MCP connector for a third-party SaaS using the tenant-context model (no HMAC), an entity-grouped registry driven by a generated OpenAPI spec, multi-mode auth (API key / OAuth2 client-credentials / OAuth2 per-user PKCE / JWT…
Create a Prisme.ai bootstrap workspace that provisions an Agent Factory agent, attaches Storage-backed file or URL sources, seeds Agent Evaluations cases, runs evaluation, and validates the setup through the supported product apps Agents, Storage, and…
Create or update a Prisme.ai App+MCP consumer workspace with a reusable Claude Sonnet 4.6 Agent Factory agent already connected to the connector MCP and an Agent Evaluations suite of representative prompts, then run and repair the consumer or connector until…
Build, edit, test and deploy a Prisme.ai Agent Factory agent whose definition is git-versioned inside a workspace. The prompt lives in AGENT.md; model/profile/capabilities/app+mcp/tests live in agent.yml. Use when the user wants to scaffold a new agent,…
Add A2UI (Agent-to-UI) surfaces to a Prisme.ai MCP workspace so that LLM agents can render interactive UI through MCP tool calls. Scaffolds an MCP endpoint (or extends an existing one) with tools whose outputs include a __surface payload (components,…
Generate public documentation (MDX) for a Prisme.ai App+MCP connector, mirroring the structure of existing pages (gryzzly.mdx, data-galaxy.mdx, …) in the prismeai/docs repo. Produces one connector MDX page, inserts its matching overview card, and uses an…
Index of the Prisme.ai plugin skills plus essential Prisme.ai environment context (environments, workspaces, tools, event schema). Use this when starting work on anything Prisme.ai-related and unsure which skill applies, or to discover what is available.
Configure or repair Prisme.ai MCP environment and token storage without exposing credentials in chat. Use when an environment is unknown, no token is registered, a stored token is rejected, or the user asks to configure MCP authentication.